SPSS Statistics Post hoc tests – simple main effects in SPSS Statistics 448), but there were statistically significant differences between educational levels ( p <. We can see from the table above that there was no statistically significant difference in mean interest in politics between males and females ( p =. You may also wish to report the results of "gender" and "education_level", but again, these need to be interpreted in the context of the interaction result. You can see from the " Sig." column that we have a statistically significant interaction at the p =.
It is important to first look at the "gender*education_level" interaction as this will determine how you can interpret your results (see our enhanced guide for more information). These rows inform us whether our independent variables (the "gender" and "education_level" rows) and their interaction (the "gender*education_level" row) have a statistically significant effect on the dependent variable, "interest in politics". The particular rows we are interested in are the "gender", "education_level" and "gender*education_level" rows, and these are highlighted above. Published with written permission from SPSS Statistics, IBM Corporation.
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We show you these procedures in SPSS Statistics, as well as how to interpret and write up your results in our enhanced two-way ANOVA guide.īelow, we take you through each of the main tables required to understand your results from the two-way ANOVA.
Alternatively, if you do not have a statistically significant interaction, there are other procedures you will have to follow. This includes relevant boxplots, and output from your Shapiro-Wilk test for normality and test for homogeneity of variances.įinally, if you have a statistically significant interaction, you will also need to report simple main effects.
In this section, we show you the main tables required to understand your results from the two-way ANOVA, including descriptives, between-subjects effects, Tukey post hoc tests (multiple comparisons), a plot of the results, and how to write up these results.įor a complete explanation of the output you have to interpret when checking your data for the six assumptions required to carry out a two-way ANOVA, see our enhanced guide. SPSS Statistics generates quite a few tables in its output from a two-way ANOVA. Two-way ANOVA in SPSS Statistics (cont.) SPSS Statistics Output of the Two-way ANOVA